Autonomous vehicles (AVs) are increasingly being deployed on public roads. AV's perception of the environment they operate in is fundamental to their autonomy, guiding their driving decisions for safe and reliable operation. These vehicles are commonly equipped with LiDAR sensors, which collect high definition depth measurements stored in 3D point clouds. Objects detected from the 3D point clouds are used by AVs to map the obstacles in the driving environment, which is vital to the safety of the autonomous vehicle, its passengers and surroundings. Object hiding attacks have been explored in various works [1]}, [2]}, [3]}, [4]} which demonstrate that it is possible to generate adversarial objects that can evade object detection. Object detection is a safety-critical function and failing to detect an object can lead to fatal collisions.
